Fusing depth and colour information for human action recognition
In recent years, human action recognition systems have been increasingly developed to support a wide range of application areas, such as surveillance, behaviour analysis, security, and many others. In particular, data fusion approaches that use depth and colour information (i.e., RGB-D data) seem to be particularly promising for recognizing large classes of human actions with a high level of accuracy.